/* * Copyright (c) 2017-2021 Arm Limited. * * SPDX-License-Identifier: MIT * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to * deal in the Software without restriction, including without limitation the * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or * sell copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ #ifndef ARM_COMPUTE_CL_GEMMLOWP_OUTPUT_STAGE_H #define ARM_COMPUTE_CL_GEMMLOWP_OUTPUT_STAGE_H #include "src/gpu/cl/ClCompileContext.h" #include "src/gpu/cl/IClOperator.h" /** This file contains all available output stages for GEMMLowp on OpenCL. * * In gemmlowp, the "output stage" is the process that takes a final int32 accumulator value (the output of @ref CLGEMMLowpMatrixMultiplyCore), * and processes it to obtain the final QASYMM8/QASYMM8_SIGNED value. * * More information about the GEMMLowp output stage can be found at https://github.com/google/gemmlowp/blob/master/doc/output.md */ namespace arm_compute { namespace opencl { /** Basic function to execute GEMMLowpQuantizeDown kernels on CL. * * This function calls the following CL kernels: * * -# @ref opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleKernel * -# @ref opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFloatKernel * -# @ref opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel */ class ClGemmLowpOutputStage : public IClOperator { public: /** Constructor */ ClGemmLowpOutputStage() = default; /** Initialise the kernel's inputs, output * * Valid data layouts: * - All * * Valid data type configurations: * |src0 |src1 |dst | * |:--------------|:-------------|:-------------| * |S32 |S32 |QASYMM8 | * |S32 |S32 |QASYMM8_SIGNED| * |S32 |S32 |QSYMM16 | * * @param[in] compile_context The compile context to be used. * @param[in] src Source tensor. Data type supported: S32 * @param[in] bias Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required. * Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p src. * @param[out] dst Destination tensor. Data type supported: QASYMM8/QASYMM8_SIGNED * @param[in] info GEMMLowp output stage metadata. */ void configure(const CLCompileContext &compile_context, const ITensorInfo *src, const ITensorInfo *bias, ITensorInfo *dst, const GEMMLowpOutputStageInfo &info); /** Static function to check if given info will lead to a valid configuration * * Similar to ClGemmLowpOutputStage::configure() * * @return a status */ static Status validate(const ITensorInfo *src, const ITensorInfo *bias, const ITensorInfo *dst, const GEMMLowpOutputStageInfo &info); // Inherited methods overridden: void run(ITensorPack &tensors) override; }; } // namespace opencl } // namespace arm_compute #endif /* ARM_COMPUTE_CL_GEMMLOWP_OUTPUT_STAGE_H */